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Database of known eclipsing binaries (according to O-C gateway)
In the list bellow, there are all known eclipsing binaries, their coordinates, elements and neglection rating in last 10 years.
All data were passed from O-C gateway maintained by Anton Paschke.
And, Ant, Aps, Aql, Aqr, Ara, Ari, Aur, Boo, Cae, Cam, Cap, Car, Cas, Cen, Cep, Cet, Cir, CMa, CMi, Cnc, Col, Com, CrA, CrB, Crt, Cru, Crv, CVn, Cyg, Del, Dor, Dra, Equ, Eri, For, Gem, Gru, Her, Hor, Hya, Hyi, Cha, Ind, Lac, Leo, LMi, Lep, Lib, Lup, Lyn, Lyr, Men, Mic, Mon, Mus, Nor, Oct, Oph, Ori, Pav, Peg, Per, Phe, Pic, Psc, PsA, Pup, Pyx, Ret, Sco, Scl, Sct, Ser, Sex, Sge, Sgr, Tau, Tel, Tri, TrA, Tuc, UMa, UMi, Vel, Vir, Vol, Vul,
| STAR Aql
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| XZ | p | 1 | 14 | 176 | 2.139205 | 53568.549 | 20:22:13.4 | -7:21:3 | 10.1 | 11.4 | 10.1 | P | predict |
| YZ | p | 10 | 0 | 71 | 4.67267 | 51277.377 | 19:16:46.2 | -0:36:17 | 10.5 | 14.2 | 10.5 | V | predict |
| AL | p | 10 | 0 | 25 | 20.9863 | 38296.313 | 19:2:24.4 | -8:33:10 | 11.2 | 13.4 | 11.2 | P | predict |
| DK | p | 10 | 0 | 11 | 4.546665 | 52035.75 | 19:26:54.3 | -11:13:15 | 13 | 14 | 13 | P | predict |
| FK | p | 5 | 5 | 81 | 2.650873 | 55406.4212 | 19:4:18.6 | +2:46:46.9 | 11.1 | 13.5 | 11.13 | P | predict |
| GU | p | 10 | 0 | 14 | 2.209174 | 37960.27 | 19:37:2.6 | +6:7:20 | 14.6 | 15.7 | 14.6 | P | predict |
| GU | s | 10 | 0 | 14 | 2.209174 | 36534.45 | 19:37:2.6 | +6:7:20 | 14.6 | 15.7 | 14.6 | P | predict |
| KO | p | 1 | 12 | 177 | 2.864072 | 55417.3468 | 18:47:10.74 | +10:45:49.4 | 8.3 | 9.5 | 8.4 | B | predict |
| KP | p | 1 | 18 | 186 | 3.3674753 | 50670.6586 | 19:2:29.9 | +15:48:1 | 9.7 | 10.43 | 10.43 | B | predict |
| KP | s | 1 | 18 | 186 | 3.3674748 | 52854.473 | 19:2:29.9 | +15:48:1 | 9.7 | 10.43 | 10.43 | B | predict |
| LT | p | 5 | 5 | 51 | 1.846203 | 54706.4311 | 19:38:49.8 | +6:34:59 | 12.4 | 14.9 | 12.4 | P | predict |
| OO | p | 1 | 132 | 1912 | 0.50679 | 38613.2222 | 19:48:12.03 | +9:18:26.3 | 9.2 | 9.9 | 9.2 | V | predict |
| OO | s | 1 | 132 | 1912 | 0.50679 | 38613.4756 | 19:48:12.03 | +9:18:26.3 | 9.2 | 9.9 | 9.2 | V | predict |
| OP | p | 8 | 2 | 22 | 3.227793 | 55369.48119 | 19:48:8.3 | +9:20:45 | 12.2 | 14.6 | 12.2 | P | predict |
| QS | p | 3 | 7 | 22 | 2.51331 | 40443.4798 | 19:41:5.53 | +13:48:56.5 | 5.93 | 6.06 | 5.97 | V | predict |
| QS | s | 3 | 7 | 22 | 2.51331 | 40444.736 | 19:41:5.53 | +13:48:56.5 | 5.93 | 6.06 | 5.97 | V | predict |
| QY | p | 4 | 6 | 64 | 7.229535 | 30223.615 | 20:9:28.83 | +15:18:44.7 | 11.4 | 14.6 | 11.4 | P | predict |
| V 337 | p | 10 | 0 | 54 | 2.733879 | 41168.401 | 19:4:10.3 | -2:1:47 | 8.57 | 9.27 | 9.09 | V | predict |
| V 337 | s | 10 | 0 | 54 | 2.733879 | 41169.76791 | 19:4:10.3 | -2:1:47 | 8.57 | 9.27 | 9.09 | V | predict |
| V 340 | p | 7 | 3 | 56 | 3.74906 | 52904.388 | 19:55:56.5 | +15:51:8 | 11.5 | 14.1 | 11.5 | P | predict |
| V 342 | p | 2 | 8 | 125 | 3.39086 | 41173.32 | 19:17:3.5 | +9:20:39 | 9.5 | 12.9 | 9.5 | P | predict |
| V 343 | p | 1 | 16 | 286 | 1.844598 | 39033.28 | 19:38:35.2 | +12:45:27 | 10.6 | 12.3 | 10.7 | P | predict |
| V 343 | s | 1 | 16 | 286 | 1.844598 | 39034.2023 | 19:38:35.2 | +12:45:27 | 10.6 | 12.3 | 10.7 | P | predict |
| V 346 | p | 1 | 51 | 712 | 1.106362 | 53552.8892 | 20:9:59.6 | +10:21:0 | 9 | 10.1 | 9.1 | P | predict |
| V 346 | s | 1 | 51 | 712 | 1.106362 | 42960.02388 | 20:9:59.6 | +10:21:0 | 9 | 10.1 | 9.1 | P | predict |
| V 348 | p | 6 | 4 | 20 | 0.6658369 | 25448.409 | 19:11:20 | +0:29:12 | 13 | 14.5 | 13 | P | predict |
| V 348 | s | 6 | 4 | 20 | 0.6658369 | 25448.742 | 19:11:20 | +0:29:12 | 13 | 14.5 | 13 | P | predict |
| V 406 | p | 10 | 0 | 15 | 5.818778 | 52428.344 | 19:11:2.7 | +1:11:24 | 13.1 | 15.5 | 13.3 | P | predict |
| V 407 | p | 4 | 6 | 26 | 1.182018 | 52591.2226 | 19:11:10.8 | +1:8:52 | 13.3 | 15.8 | 13.3 | P | predict |
| V 407 | s | 4 | 6 | 26 | 1.182018 | 52530.3494 | 19:11:10.8 | +1:8:52 | 13.3 | 15.8 | 13.3 | P | predict |
| V 408 | p | 9 | 1 | 17 | 2.83173 | 52102.589 | 19:14:16.3 | +4:46:6 | 14.1 | 16.5 | 14.1 | P | predict |
| V 408 | s | 9 | 1 | 17 | 2.83173 | 25836.826 | 19:14:16.3 | +4:46:6 | 14.1 | 16.5 | 14.1 | P | predict |
| V 409 | p | 9 | 1 | 18 | 2.049404 | 25503.385 | 19:17:58.5 | -0:40:44 | 11.4 | 12 | 11.9 | V | predict |
| V 409 | s | 9 | 1 | 18 | 2.049404 | 25504.40969 | 19:17:58.5 | -0:40:44 | 11.4 | 12 | 11.9 | V | predict |
| V 410 | p | 9 | 1 | 3 | 5.474227 | 26898.467 | 19:22:19 | +5:18:32 | 14.5 | 15 | 14.5 | P | predict |
| V 415 | p | 5 | 5 | 54 | 2.46274713 | 52874.3986 | 19:30:43.7 | +13:40:21 | 11.1 | 12 | 11.1 | P | predict |
| V 416 | p | 8 | 2 | 31 | 1.33805 | 51378.4241 | 19:33:39.5 | +0:32:23 | 13.7 | 15.1 | 13.7 | P | predict |
| V 417 | p | 1 | 33 | 122 | 0.3703123 | 43016.425 | 19:35:24.12 | +5:50:17.9 | 11 | 11.5 | 11.5 | P | predict |
| V 417 | s | 1 | 33 | 122 | 0.3703123 | 54317.0617 | 19:35:24.12 | +5:50:17.9 | 11 | 11.5 | 11.5 | P | predict |
| V 418 | p | 9 | 1 | 30 | 2.234904 | 25863.35 | 19:36:39.4 | +3:57:0 | 12.8 | 16 | 12.8 | P | predict |
| V 420 | p | 9 | 1 | 14 | 3.53275 | 54707.426 | 19:40:14.01 | +2:38:54.4 | 12.8 | 14.3 | 12.8 | P | predict |
| V 445 | p | 10 | 0 | 14 | 9.4248 | 52207.724 | 20:19:38.9 | +6:8:48 | 13 | 15.5 | 13 | P | predict |
| V 476 | p | 8 | 2 | 14 | 0.624685 | 55341.8217 | 18:48:48.57 | +7:8:49 | 13.3 | 14.2 | 13.3 | P | predict |
| V 476 | s | 8 | 2 | 14 | 0.624685 | 37869.058 | 18:48:48.57 | +7:8:49 | 13.3 | 14.2 | 13.3 | P | predict |
| V 479 | p | 3 | 7 | 79 | 0.833597 | 53612.3607 | 18:50:19.6 | +10:40:24 | 13.2 | 14.6 | 13.2 | P | predict |
| V 557 | p | 8 | 2 | 27 | 2.750497 | 26945.42 | 19:54:41.9 | +3:21:47 | 13.4 | 15.6 | 13.4 | P | predict |
| V 602 | p | 6 | 4 | 67 | 3.01252 | 54719.3597 | 19:51:0.6 | +16:26:44 | 11.9 | 13.2 | 12.7 | P | predict |
| V 602 | s | 6 | 4 | 67 | 3.01252 | 47770.98 | 19:51:0.6 | +16:26:44 | 11.9 | 13.2 | 12.7 | P | predict |
| V 609 | p | 1 | 10 | 30 | 0.7965638 | 54023.3594 | 20:9:58.7 | +14:38:14 | 11.7 | 12.1 | 11.9 | P | predict |
| V 609 | s | 1 | 10 | 30 | 0.7965638 | 29366.123 | 20:9:58.7 | +14:38:14 | 11.7 | 12.1 | 11.9 | P | predict |
| V 611 | p | 10 | 0 | 4 | 5.42883 | 29163.246 | 19:27:39.99 | +11:48:45.5 | 14.2 | 15.3 | 14.2 | P | predict |
| V 616 | p | 10 | 0 | 26 | 1.69058 | 52455.4622 | 19:31:36.1 | +10:49:7 | 14.1 | 15 | 14.1 | P | predict |
| V 630 | p | 10 | 0 | 13 | 3.22203 | 28045.337 | 19:35:42.49 | +7:52:10.8 | 14.3 | 16 | 14.3 | P | predict |
| V 631 | p | 10 | 0 | 9 | 1.155102 | 29163.326 | 19:35:45.8 | +12:3:24 | 13.5 | 14.9 | 13.5 | P | predict |
| V 640 | p | 7 | 3 | 41 | 0.5612183 | 52894.917 | 19:37:52.5 | +10:47:10 | 12.6 | 13.4 | 12.8 | P | predict |
| V 640 | s | 7 | 3 | 41 | 0.5612183 | 50719.3569 | 19:37:52.5 | +10:47:10 | 12.6 | 13.4 | 12.8 | P | predict |
| V 647 | p | 10 | 0 | 13 | 3.399233 | 28067.302 | 19:38:55.64 | +11:14:53.1 | 14.7 | 15.6 | 14.7 | P | predict |
| V 676 | p | 10 | 0 | 10 | 0.57551 | 51698.574 | 19:46:42.78 | +6:24:45.5 | 14.3 | 14.8 | 14.8 | P | predict |
| V 676 | s | 10 | 0 | 10 | 0.57551 | 29453.668 | 19:46:42.78 | +6:24:45.5 | 14.3 | 14.8 | 14.8 | P | predict |
| V 688 | p | 6 | 4 | 45 | 3.88972 | 53972.0954 | 19:48:28.9 | +15:37:16 | 10.3 | 11.1 | 10.8 | P | predict |
| V 688 | s | 6 | 4 | 45 | 3.88972 | 48178.352 | 19:48:28.9 | +15:37:16 | 10.3 | 11.1 | 10.8 | P | predict |
| V 690 | p | 10 | 0 | 7 | 1.42225 | 28045.397 | 19:49:32.95 | +9:7:59.1 | 15.1 | 15.7 | 15.1 | P | predict |
| V 694 | p | 3 | 7 | 58 | 0.820581 | 28782.334 | 19:50:19.2 | +7:50:15 | 12.4 | 12.9 | 12.4 | P | predict |
| V 694 | s | 3 | 7 | 58 | 0.820581 | 28782.74429 | 19:50:19.2 | +7:50:15 | 12.4 | 12.9 | 12.4 | P | predict |
| V 699 | p | 6 | 4 | 46 | 0.8768927 | 28038.376 | 19:50:47.1 | +7:42:8 | 13.2 | 13.8 | 13.75 | P | predict |
| V 699 | s | 6 | 4 | 46 | 0.8768927 | 28038.8144 | 19:50:47.1 | +7:42:8 | 13.2 | 13.8 | 13.75 | P | predict |
| V 711 | p | 10 | 0 | 8 | 2.487117 | 29071.511 | 19:53:44.07 | +10:59:42.1 | 15 | 16.1 | 15 | P | predict |
| V 714 | p | 10 | 0 | 7 | 3.05985 | 30909.469 | 19:54:6.32 | +7:53:33 | 13.9 | 14.8 | 13.9 | P | predict |
| V 719 | p | 8 | 2 | 16 | 6.751044 | 28753.492 | 19:55:30.6 | +7:25:43 | 12.2 | 14 | 12.2 | P | predict |
| V 724 | p | 1 | 11 | 40 | 0.517599 | 36818.94 | 19:56:42.7 | +1:5:3 | 11.1 | 11.57 | 11.57 | V | predict |
| V 724 | s | 1 | 11 | 40 | 0.517599 | 55017.4646 | 19:56:42.7 | +1:5:3 | 11.1 | 11.57 | 11.57 | V | predict |
| V 729 | p | 10 | 0 | 11 | 1.281905 | 30260.328 | 19:56:50.69 | +13:17:50.3 | 14.2 | 15.1 | 14.2 | P | predict |
| V 760 | p | 5 | 5 | 54 | 1.259869 | 53532.517 | 20:0:40.1 | +8:42:6 | 13.5 | 14.5 | 13.5 | P | predict |
| V 761 | p | 1 | 11 | 41 | 1.069347 | 55828.6509 | 20:0:27.3 | +14:21:38 | 13 | 14.1 | 13 | P | predict |
| V 761 | s | 1 | 11 | 41 | 1.069347 | 39546.281 | 20:0:27.3 | +14:21:38 | 13 | 14.1 | 13 | P | predict |
| V 762 | p | 10 | 0 | 16 | 2.09993 | 30930.41 | 20:1:6.88 | +0:15:3.3 | 13.9 | 15.7 | 13.9 | P | predict |
| V 770 | p | 2 | 8 | 25 | 1.592912 | 52877.4326 | 20:3:9.2 | +9:50:14 | 13.6 | 14.6 | 14 | P | predict |
| V 770 | s | 2 | 8 | 25 | 1.592912 | 28747.204 | 20:3:9.2 | +9:50:14 | 13.6 | 14.6 | 14 | P | predict |
| V 784 | p | 4 | 6 | 28 | 0.587693 | 53612.456 | 20:7:7.2 | +13:29:59 | 14.2 | 14.8 | 14.8 | P | predict |
| V 784 | s | 4 | 6 | 28 | 0.587693 | 29195.276 | 20:7:7.2 | +13:29:59 | 14.2 | 14.8 | 14.8 | P | predict |
| V 787 | p | 10 | 0 | 12 | 1.04 | 26931.488 | 20:8:20.77 | +0:4:24.8 | 14.5 | 15.5 | 14.5 | P | predict |
| V 795 | p | 9 | 1 | 16 | 12.0968 | 52740.27 | 18:47:6.9 | +11:40:12 | 13.4 | 16.4 | 13.4 | P | predict |
| V 795 | s | 9 | 1 | 16 | 12.0968 | 29060.765 | 18:47:6.9 | +11:40:12 | 13.4 | 16.4 | 13.4 | P | predict |
| V 799 | p | 10 | 0 | 10 | 2.10064 | 32853.184 | 18:55:48.8 | -3:40:24 | 12.9 | 13.7 | 12.9 | P | predict |
| V 802 | p | 5 | 5 | 12 | 0.267608 | 55341.7791 | 18:58:54.5 | -3:1:12 | 13.4 | 14.3 | 13.4 | P | predict |
| V 802 | s | 5 | 5 | 12 | 0.267608 | 51781.383 | 18:58:54.5 | -3:1:12 | 13.4 | 14.3 | 13.4 | P | predict |
| V 803 | p | 1 | 12 | 125 | 0.2634245 | 55053.67726 | 19:0:44.15 | -7:28:54.5 | 14 | 15 | 14.8 | P | predict |
| V 803 | s | 1 | 12 | 125 | 0.2634245 | 56089.8499 | 19:0:44.15 | -7:28:54.5 | 14 | 15 | 14.8 | P | predict |
| V 804 | p | 8 | 2 | 18 | 0.6553815 | 28777.322 | 19:5:41.4 | -6:13:4 | 11.3 | 11.7 | 11.6 | V | predict |
| V 804 | s | 8 | 2 | 18 | 0.6553815 | 28777.65 | 19:5:41.4 | -6:13:4 | 11.3 | 11.7 | 11.6 | V | predict |
| V 805 | p | 8 | 2 | 59 | 2.408235 | 27927.837 | 19:6:18.2 | -11:38:57 | 7.58 | 8.22 | 7.9 | V | predict |
| V 805 | s | 8 | 2 | 59 | 2.408235 | 49133.5527 | 19:6:18.2 | -11:38:57 | 7.58 | 8.22 | 7.9 | V | predict |
| V 808 | p | 10 | 0 | 5 | 1.573871 | 27929.963 | 19:7:26.3 | -9:33:49 | 13.1 | 14 | 13.3 | P | predict |
| V 808 | s | 10 | 0 | 5 | 1.573871 | 27930.74994 | 19:7:26.3 | -9:33:49 | 13.1 | 14 | 13.3 | P | predict |
| V 822 | p | 9 | 1 | 22 | 5.295 | 42577.333 | 19:31:15.78 | -2:6:36.7 | 6.87 | 7.44 | 7.07 | V | predict |
| V 822 | s | 9 | 1 | 22 | 5.295 | 47774.569 | 19:31:15.78 | -2:6:36.7 | 6.87 | 7.44 | 7.07 | V | predict |
| V 843 | p | 9 | 1 | 9 | 9.02424 | 29864.182 | 19:5:26.4 | -6:47:52.1 | 9.8 | 10.2 | 9.8 | P | predict |
| V 864 | p | 9 | 1 | 3 | 0.608658 | 51280.832 | 20:7:54.9 | +10:47:34 | 12.6 | 13.2 | 12.6 | V | predict |
| V 869 | p | 10 | 0 | 4 | 1.098718 | 31652.462 | 19:19:41.79 | -1:26:8.6 | 14.7 | 15.9 | 14.7 | P | predict |
| V 871 | p | 9 | 1 | 4 | 2.952661 | 38637.28 | 18:42:39.4 | -3:9:28 | 13.3 | 14.5 | 13.3 | P | predict |
| V 872 | p | 9 | 1 | 2 | 0.5389006 | 38621.39 | 18:42:58.67 | -2:13:52.5 | 15.1 | 16.4 | 15.7 | P | predict |
| V 873 | p | 5 | 5 | 19 | 0.3575712 | 51394.4477 | 18:45:0 | +0:34:4 | 13.3 | 14.3 | 13.3 | P | predict |
| V 873 | s | 5 | 5 | 19 | 0.3575712 | 53182.498 | 18:45:0 | +0:34:4 | 13.3 | 14.3 | 13.3 | P | predict |
| V 879 | p | 9 | 1 | 1 | 0.118981 | 53095.6264 | 18:49:58.6 | +10:58:53 | 13.1 | 14.8 | 13.1 | p | predict |
| V 887 | p | 6 | 4 | 4 | 2.716045 | 53651.518 | 19:0:18.99 | +13:44:39.2 | 13.15 | 14.1 | 13.15 | V | predict |
| V 887 | s | 6 | 4 | 4 | 2.716045 | 53652.876 | 19:0:18.99 | +13:44:39.2 | 13.15 | 14.1 | 13.15 | V | predict |
| V 889 | p | 1 | 15 | 71 | 11.12077 | 55012.45545 | 19:18:49.8 | +16:15:0 | 8.52 | 9.1 | 9 | V | predict |
| V 889 | s | 1 | 15 | 71 | 11.12077 | 38257.395 | 19:18:49.8 | +16:15:0 | 8.52 | 9.1 | 9 | V | predict |
| V 891 | p | 10 | 0 | 9 | 0.419508 | 31673.5 | 19:44:10.87 | +0:18:26.1 | 15.4 | 15.8 | 15.8 | P | predict |
| V 891 | s | 10 | 0 | 9 | 0.419508 | 30937.494 | 19:44:10.87 | +0:18:26.1 | 15.4 | 15.8 | 15.8 | P | predict |
| V 917 | p | 4 | 6 | 20 | 1.832417 | 36381.405 | 19:10:52.1 | +12:9:0 | 13.5 | 14.5 | 13.5 | P | predict |
| V 919 | p | 10 | 0 | 50 | 0.797102 | 35369.358 | 19:22:55.7 | -1:2:31 | 13 | 14 | 13.8 | P | predict |
| V 919 | s | 10 | 0 | 50 | 0.797102 | 35369.75655 | 19:22:55.7 | -1:2:31 | 13 | 14 | 13.8 | P | predict |
| V 926 | p | 10 | 0 | 12 | 2.97312 | 28403.5 | 19:48:13.4 | +9:23:43 | 13.8 | 14.6 | 13.8 | P | predict |
| V 962 | p | 6 | 4 | 107 | 1.165016 | 55374.4966 | 19:6:44.1 | +13:21:40 | 12.3 | 14.5 | 12.3 | P | predict |
| V 962 | s | 6 | 4 | 107 | 1.165016 | 56093.8969 | 19:6:44.1 | +13:21:40 | 12.3 | 14.5 | 12.3 | P | predict |
| V 964 | p | 8 | 2 | 5 | 1.262561 | 38587.429 | 19:10:56.6 | -5:31:46 | 13.6 | 14.4 | 13.7 | P | predict |
| V 970 | p | 9 | 1 | 22 | 1.268992 | 25535.303 | 19:23:18.8 | +7:23:9 | 13.9 | 15.4 | 13.9 | P | predict |
| V 981 | p | 10 | 0 | 18 | 1.058151 | 26505.465 | 19:32:58.47 | +4:49:30.9 | 14.1 | 15.3 | 14.5 | P | predict |
| V 981 | s | 10 | 0 | 18 | 1.058151 | 26505.99408 | 19:32:58.47 | +4:49:30.9 | 14.1 | 15.3 | 14.5 | P | predict |
| V 997 | p | 8 | 2 | 25 | 1.7948425 | 25503.34 | 19:37:23.3 | +5:35:55 | 13 | 13.6 | 13 | P | predict |
| V 997 | s | 8 | 2 | 25 | 1.7948425 | 36946.38 | 19:37:23.3 | +5:35:55 | 13 | 13.6 | 13 | P | predict |
| V1010 | p | 10 | 0 | 26 | 0.719595 | 44490.378 | 19:41:22.66 | +9:36:37.8 | 15.5 | 16.5 | 15.5 | P | predict |
| V1013 | p | 10 | 0 | 21 | 11.266 | 39346.282 | 19:41:43.41 | +14:30:38.4 | 14.5 | 16 | 14.5 | P | predict |
| V1014 | p | 10 | 0 | 7 | 3.5201 | 40037.458 | 19:42:4.68 | +6:33:46.1 | 15.5 | 16.5 | 15.5 | P | predict |
| V1033 | p | 10 | 0 | 10 | 3.59958 | 38669.204 | 19:46:44.77 | +14:21:57.1 | 15 | 17.5 | 15 | P | predict |
| V1045 | p | 4 | 6 | 29 | 2.193749 | 54389.2953 | 19:51:5.4 | +15:19:19 | 13.3 | 14.3 | 13.5 | P | predict |
| V1045 | s | 4 | 6 | 29 | 2.193749 | 27714.404 | 19:51:5.4 | +15:19:19 | 13.3 | 14.3 | 13.5 | P | predict |
| V1046 | p | 9 | 1 | 10 | 5.28312 | 35114.998 | 19:51:20.2 | +15:19:8 | 13.4 | 14.5 | 13.4 | P | predict |
| V1075 | p | 1 | 11 | 47 | 0.88098 | 52854.3931 | 20:0:17.3 | +15:34:11 | 13.5 | 14.5 | 13.6 | P | predict |
| V1075 | s | 1 | 11 | 47 | 0.88098 | 54382.4545 | 20:0:17.3 | +15:34:11 | 13.5 | 14.5 | 13.6 | P | predict |
| V1096 | p | 2 | 8 | 39 | 1.111409 | 54663.5278 | 20:8:45.3 | +14:54:34 | 13 | 13.4 | 13.3 | P | predict |
| V1096 | s | 2 | 8 | 39 | 1.111409 | 55396.498 | 20:8:45.3 | +14:54:34 | 13 | 13.4 | 13.3 | P | predict |
| V1097 | p | 2 | 8 | 21 | 1.225237 | 28369.445 | 20:8:49.8 | +15:59:28 | 13.9 | 15 | 14 | P | predict |
| V1097 | s | 2 | 8 | 21 | 1.225237 | 28370.058 | 20:8:49.8 | +15:59:28 | 13.9 | 15 | 14 | P | predict |
| V1168 | p | 4 | 6 | 64 | 1.272567 | 28248.615 | 19:58:42.1 | +11:48:41 | 11.9 | 13.9 | 11.9 | P | predict |
| V1168 | s | 4 | 6 | 64 | 1.272567 | 28249.251 | 19:58:42.1 | +11:48:41 | 11.9 | 13.9 | 11.9 | P | predict |
| V1182 | p | 9 | 1 | 17 | 1.621888 | 39651.72 | 18:55:23.1 | +9:20:48 | 8.5 | 8.65 | 8.65 | V | predict |
| V1182 | s | 9 | 1 | 17 | 1.621888 | 39652.53096 | 18:55:23.1 | +9:20:48 | 8.5 | 8.65 | 8.65 | V | predict |
| V1184 | p | 6 | 4 | 30 | 0.565604 | 37432.421 | 18:59:14.3 | +10:22:30 | 13.1 | 13.5 | 13.4 | P | predict |
| V1184 | s | 6 | 4 | 30 | 0.565604 | 37432.704 | 18:59:14.3 | +10:22:30 | 13.1 | 13.5 | 13.4 | P | predict |
| V1189 | p | 10 | 0 | 2 | 0.3154 | 37878.51 | 19:6:15.6 | +1:47:35 | 13.5 | 14.5 | 13.5 | P | predict |
| V1197 | p | 9 | 1 | 20 | 0.9377315 | 37586.28 | 19:14:47.3 | +1:11:12 | 13.2 | 13.7 | 13.2 | P | predict |
| V1243 | p | 8 | 2 | 29 | 0.7030487 | 55418.4153 | 19:29:29.6 | +5:37:13 | 13.3 | 13.9 | 13.3 | P | predict |
| V1269 | p | 10 | 0 | 5 | 2.00165 | 38940.52 | 19:36:40.2 | +0:53:39 | 12.5 | 13 | 12.5 | P | predict |
| V1269 | s | 10 | 0 | 5 | 2.00165 | 38940.52 | 19:36:40.2 | +0:53:39 | 12.5 | 13 | 12.5 | P | predict |
| V1299 | p | 6 | 4 | 13 | 1.79174 | 52896.011 | 20:5:3.4 | +14:58:19 | 13 | 14 | 13 | P | predict |
| V1299 | s | 6 | 4 | 13 | 1.79174 | 54389.4095 | 20:5:3.4 | +14:58:19 | 13 | 14 | 13 | P | predict |
| V1331 | p | 4 | 6 | 17 | 1.364193 | 55388.4682 | 18:44:12.79 | -1:33:15.5 | 7.7 | 8.05 | 7.95 | V | predict |
| V1331 | s | 4 | 6 | 17 | 1.364193 | 42610.7521 | 18:44:12.79 | -1:33:15.5 | 7.7 | 8.05 | 7.95 | V | predict |
| V1341 | p | 5 | 5 | 30 | 0.304012 | 38621.432 | 18:55:49.7 | -0:1:38 | 13 | 13.7 | 13.4 | P | predict |
| V1341 | s | 5 | 5 | 30 | 0.304012 | 38621.584 | 18:55:49.7 | -0:1:38 | 13 | 13.7 | 13.4 | P | predict |
| V1353 | p | 1 | 18 | 76 | 1.414802 | 34461.529 | 19:24:20.6 | +16:2:43 | 10.5 | 11.4 | 10.9 | P | predict |
| V1353 | s | 1 | 18 | 76 | 1.414802 | 34462.2364 | 19:24:20.6 | +16:2:43 | 10.5 | 11.4 | 10.9 | P | predict |
| V1355 | p | 3 | 7 | 54 | 0.5157908 | 35428.2445 | 19:33:52.3 | +15:56:28 | 12.7 | 13.6 | 13.3 | P | predict |
| V1355 | s | 3 | 7 | 54 | 0.5157908 | 35428.5024 | 19:33:52.3 | +15:56:28 | 12.7 | 13.6 | 13.3 | P | predict |
| V1376 | p | 10 | 0 | 4 | 274.02 | 38235.5 | 19:57:49.3 | +11:34:50 | 11.6 | 12.7 | 11.6 | P | predict |
| V1426 | p | 3 | 7 | 11 | 1.175152 | 52032.23 | 19:12:12 | +4:23:42 | 9.3 | 9.7 | 9.3 | P | predict |
| V1426 | s | 3 | 7 | 11 | 1.175152 | 53083.42 | 19:12:12 | +4:23:42 | 9.3 | 9.7 | 9.3 | P | predict |
| V1430 | p | 1 | 11 | 16 | 0.873721 | 54389.3923 | 19:21:48.5 | +4:32:57 | 10.2 | 10.8 | 10.2 | V | predict |
| V1430 | s | 1 | 11 | 16 | 0.873721 | 55444.4111 | 19:21:48.5 | +4:32:57 | 10.2 | 10.8 | 10.2 | V | predict |
| V1439 | p | 9 | 1 | 2 | 8.1503 | 48500.163 | 19:0:49.41 | +14:32:48.8 | 7.683 | 8.02 | 7.683 | V | predict |
| V1440 | p | 10 | 0 | 2 | 1.83672 | 48501.4444 | 19:5:0.13 | -7:8:30.8 | 8.554 | 8.673 | 8.554 | V | predict |
| V1450 | p | 9 | 1 | 4 | 4.81267 | 48500.356 | 19:17:40.97 | +8:36:50.9 | 8.978 | 9.295 | 8.978 | V | predict |
| V1454 | p | 10 | 0 | 2 | 1.049648 | 51010.49765 | 19:26:5.12 | +3:31:9.8 | 8.05 | 8.25 | 8.05 | V | predict |
| V1461 | p | 10 | 0 | 3 | 1.76307 | 48500.43 | 19:43:34.14 | -9:4:2.1 | 8.91 | 9.33 | 8.91 | V | predict |
| V1461 | s | 10 | 0 | 3 | 1.76307 | 48501.3115 | 19:43:34.14 | -9:4:2.1 | 8.91 | 9.33 | 8.91 | V | predict |
| V1470 | p | 9 | 1 | 3 | 0.834993 | 48500.072 | 20:4:9.25 | +11:47:40.3 | 7.832 | 7.932 | 7.832 | V | predict |
| V1471 | p | 9 | 1 | 3 | 1.114275 | 52415.009 | 20:4:54.89 | +2:26:30.8 | 8.422 | 8.633 | 8.422 | V | predict |
| V1490 | p | 7 | 3 | 14 | 1.615908 | 50728.29 | 19:53:40.22 | +9:23:51 | 10.5 | 11 | 10.5 | R | predict |
| V1538 | p | 4 | 6 | 7 | 0.73225 | 52202.13 | 19:24:36.4 | +6:31:28 | 12.3 | 12.7 | 12.6 | c | predict |
| V1538 | s | 4 | 6 | 7 | 0.73225 | 52202.496 | 19:24:36.4 | +6:31:28 | 12.3 | 12.7 | 12.6 | c | predict |
| V1542 | p | 1 | 10 | 23 | 0.417537 | 53612.3523 | 19:46:25.1 | +8:45:12 | 11.71 | 12.34 | 12.31 | V | predict |
| V1542 | s | 1 | 10 | 23 | 0.417537 | 54314.4436 | 19:46:25.1 | +8:45:12 | 11.71 | 12.34 | 12.31 | V | predict |
| V1646 | p | 10 | 0 | 8 | 9.2785 | 52137.5441 | 19:34:21.5 | +3:54:43 | 11.9 | 12.6 | 12.5 | V | predict |
| V1646 | s | 10 | 0 | 8 | 9.2785 | 52448.4309 | 19:34:21.5 | +3:54:43 | 11.9 | 12.6 | 12.5 | V | predict |
| V1647 | p | 6 | 4 | 5 | 0.463588 | 51814.642 | 19:40:8.28 | -10:22:26.4 | 13.5 | 14 | 13.9 | R | predict |
| V1647 | s | 6 | 4 | 5 | 0.463588 | 51814.874 | 19:40:8.28 | -10:22:26.4 | 13.5 | 14 | 13.9 | R | predict |
| V1656 | p | 10 | 0 | 74 | 8.6294 | 49840.2 | 20:9:51.45 | +15:57:33.9 | 13.4 | 14.8 | 13.4 | B | predict |
| V1660 | p | 10 | 0 | 2 | 1.16355 | 51280.214 | 20:14:48.7 | +3:55:32 | 12.1 | 12.4 | 12.1 | c | predict |
| V1665 | p | 7 | 3 | 3 | 3.88181 | 55341.8114 | 18:56:10 | +7:56:8 | 8.09 | 8.4 | 8.24 | V | predict |
| V1687 | p | 3 | 8 | 15 | 0.5878039 | 52556.2575 | 19:14:39.65 | +3:50:39.9 | 11.5 | 11.9 | 11.5 | V | predict |
| V1687 | s | 3 | 8 | 15 | 0.5878039 | 52489.5412 | 19:14:39.65 | +3:50:39.9 | 11.5 | 11.9 | 11.5 | V | predict |
| V1692 | p | 9 | 1 | 9 | 0.609249 | 52184.834 | 19:26:28.1 | +7:11:49 | 11.25 | 11.45 | 11.4 | V | predict |
| V1692 | s | 9 | 1 | 9 | 0.609249 | 55418.4209 | 19:26:28.1 | +7:11:49 | 11.25 | 11.45 | 11.4 | V | predict |
| V1695 | p | 6 | 4 | 6 | 0.412775 | 52522.4432 | 19:38:22.2 | -3:32:37 | 10.9 | 11.3 | 11.2 | V | predict |
| V1695 | s | 6 | 4 | 6 | 0.412775 | 52576.3098 | 19:38:22.2 | -3:32:37 | 10.9 | 11.3 | 11.2 | V | predict |
| V1700 | p | 8 | 2 | 2 | 3.400805 | 52527.618 | 20:0:55.5 | +7:24:41 | 8.27 | 8.64 | 8.53 | V | predict |
| V1700 | s | 8 | 2 | 2 | 3.400805 | 55760.0841 | 20:0:55.5 | +7:24:41 | 8.27 | 8.64 | 8.53 | V | predict |
| V1702 | p | 10 | 0 | 3 | 1.68502 | 52087.723 | 20:2:26.5 | -4:46:35.4 | 12.06 | 13.18 | 12.25 | V | predict |
| V1707 | p | 9 | 1 | 1 | 3.63592 | 52888.602 | 18:52:3.7 | +11:17:26 | 12.47 | 13.05 | 13 | V | predict |
| V1712 | p | 7 | 3 | 3 | 0.39611 | 52868.547 | 19:25:28.5 | +11:23:39 | 13.15 | 14 | 13.9 | V | predict |
| V1712 | s | 7 | 3 | 3 | 0.39611 | 52868.74505 | 19:25:28.5 | +11:23:39 | 13.15 | 14 | 13.9 | V | predict |
| V1713 | p | 9 | 1 | 2 | 0.531734 | 52481.639 | 19:37:44 | +1:49:36 | 10.61 | 11.15 | 11.05 | V | predict |
| V1714 | p | 10 | 0 | 1 | 0.962992 | 51486.657 | 19:39:39.6 | +9:34:10 | 11.76 | 12.45 | 12.4 | V | predict |
| V1719 | p | 10 | 0 | 1 | 2.1774 | 51421.753 | 19:50:44.3 | +1:45:51 | 8.78 | 8.96 | 8.78 | V | predict |
| G1040.0399 | p | 6 | 4 | 5 | 1.274272 | 54318.37954 | 19:7:23 | +8:43:32 | 10.34 | 11 | 10.48 | V | predict |
| G1077.0828 | p | 1 | 12 | 12 | 1.705523 | 52879.64 | 20:13:10 | +10:20:40 | 8.78 | 9.34 | 9.3 | V | predict |
| G1077.0828 | s | 1 | 12 | 12 | 1.705523 | 52880.49276 | 20:13:10 | +10:20:40 | 8.78 | 9.34 | 9.3 | V | predict |
| sig | p | 3 | 7 | 14 | 1.95027 | 22486.797 | 19:39:11.64 | +5:23:52 | 5.14 | 5.32 | 5.3 | V | predict |
| sig | s | 3 | 7 | 14 | 1.95027 | 22487.772 | 19:39:11.64 | +5:23:52 | 5.14 | 5.32 | 5.3 | V | predict |
TABLE LEGEND:
Star - object designation, 2nd column - primary / secondary minimum, 3rd column - "neglection rating" in last 10 years, N10 - number of data in last 10 years, N - all data amount, both CCD, visual and photographic has the same weight of 1 point, PERIOD - orbtial period in days, MIN0 - basic minimum, RA 2000 - right acscension, DE 2000 - declination, MAX - brightness in maximum (mag), MINP - brightness in primary minimum, MINS - brightness in secondary minimum, spectral band, in which max, minp and mins are given.
NEGLECTION RATING LEGEND:
For each object, all known observations were counted (in O-C gateway) in last 10 years.
1 CCD minimum got value 1, 1 visual / pg minimum got value 0,1.
For example 1 CCD minimum + 1 visual minimum => N10 = 1.1
Such N10 value, it was substracted 10 - N10 and rounded to integer. The result is neclection rating.
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> Minima predictions < > Transits predictions <
New data MEDUZA & HERO:
CCD: M. Lehkı: , , , , , , , , , , VIZ: P. Dubovskı: , , , , , , , , , , , , , , , , , , , ,
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